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SciML provides a unified ecosystem of open source software designed for scientific machine learning, physics-informed AI, and differentiable programming. It offers advanced tools for solving differential equations and automating model discovery, making it accessible to a wide range of users in the scientific community.
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A library for solving various types of differential equations, including ordinary, stochastic, and hybrid differential equations.
A library for implementing physics-informed neural networks for solving partial differential equations.
A tool for generating numerical solver code and optimizing differential equation models.
SciML is an open source software ecosystem for scientific machine learning and physics-informed AI, focusing on solving differential equations and automating model discovery.
While primarily built using the Julia programming language, SciML also provides tools to bridge its functionalities to Python and R.
SciML has a large community with multiple Slack channels, a Zulip chat server, and forums on Discourse where users can ask questions and get support.